{"id":"W4403144375","doi":"10.1016/j.cemconcomp.2024.105786","title":"Modeling fiber alignment in 3D printed ultra-high-performance concrete based on stereology theory","year":2024,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Stereology; Fiber; Materials science; Computer science; Composite material; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001847539,0.0002995961,0.0002967822,0.0003503472,0.0002619729,0.0005800428,0.0005733504,0.0008580915,0.00185938],"category_scores_gemma":[0.0004936685,0.0003865423,0.0005105442,0.0004004639,0.0004986103,0.0006080316,0.0002858742,0.0003087888,0.0002832683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009162055,"about_ca_system_score_gemma":0.0009473635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01656053,"about_ca_topic_score_gemma":0.01811429,"domain_scores_codex":[0.9998746,0.00001898414,0.000004946535,0.00002812658,0.00005687053,0.00001653771],"domain_scores_gemma":[0.9997905,0.00009505029,0.00004379539,0.0000151761,0.00004250426,0.00001295113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008172663,0.00001559199,0.0003640628,0.00001262857,0.000003648793,0.00002842785,0.0000191927,0.9903558,0.003581847,0.002351498,0.00005046235,0.00320867],"study_design_scores_gemma":[9.168284e-7,0.000002899604,0.0001087293,9.406035e-7,9.90738e-7,0.00000396575,0.000003237149,0.9992433,0.0004461165,0.0001238866,0.0000633372,0.000001705835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.270554,0.0001953235,0.7118768,0.00009898719,0.00003840191,0.00006160163,0.0001444017,0.0005925871,0.01643783],"genre_scores_gemma":[0.9551431,0.0001443202,0.04064927,0.00002062852,0.000006270539,0.00003729949,0.00007542095,0.00008460322,0.003839247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01656053,"threshold_uncertainty_score":0.03292829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009819918473267153,"score_gpt":0.2122277351156534,"score_spread":0.2024078166423863,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}